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Build predictive and optimization models to improve call-center performance and customer experience using Python/R, SQL, and analytics tools.
Builds predictive models and uncovers insights from large datasets using Python/R, SQL, and machine learning to guide business decisions and strategy.
Build and optimize ML models for dynamic pricing, trip dispatching, and fraud detection using Python, SQL, and GCP to drive Yassir’s mobility super-app.
Build and deploy ML models to detect and prevent fraud in an affiliate marketing platform, using graph-based techniques and anomaly detection to protect attribution, lead quality, and partner compliance.
Build and refine market-making models for equities and derivatives using Python, AWS SageMaker, and deep learning (LSTMs, CNNs) to predict short-term price movements and backtest strategies.
Build and deploy ML models and anomaly detection systems to detect and prevent fraud for a fast-growing African fintech platform.
Build and deploy ML models to extract insights and predict outcomes for clients, using Python/R and collaborating with cross-functional teams.
Builds and improves scalable ML models and data pipelines for retail analytics, working with stakeholders across the Lightstone Group.
Builds models and dashboards to detect anomalies in market participant activity and automate regulatory reporting for ASX’s trading and clearing systems.
Build and deploy data-driven applications such as APIs and dashboards, using statistical modeling and optimization to solve loosely-defined problems.
Lead a team of data scientists to build and deploy ML products for Sportsbet, from ideation to production, driving business value and advancing AI/ML capabilities.
Design AI evaluation tasks, create benchmark solutions, and audit model outputs for correctness and efficiency in a flexible, hourly remote contract role.
Build dashboards and analyze education data to guide strategic decisions for TAFE NSW’s Construction and Digital Institutes.
Build and deploy ML and GenAI systems for high-impact projects, working with AI agents and LLM pipelines in secure, government-grade environments.
Build and deploy ML models to turn business problems into data-driven solutions that improve decisions and drive measurable impact.
Interns at a quantum-computing startup assist with engineering, software, and data-science tasks, develop methods, and present results in a fast-moving R&D environment.
Lead a team building AI models for healthcare wearables, turning raw physiological data into clinically validated, production-ready solutions while collaborating with cross-functional teams.
Senior Data Scientist builds and productionizes ML models for Xero Payroll, using SQL, Python, Snowflake, and dbt to drive conversion and retention for small businesses.
Lead Wallapop’s experimentation practice: set standards, improve statistical rigor, and coach teams in A/B testing and causal inference to drive data-driven product decisions across search, recommendations, and marketplace growth.
Lead ML and data-science projects for aerospace engineering and operations, building models and dashboards to drive data-driven decisions.
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